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⇱ Python Data Analysis | Coursera

Python Data Analysis

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Python Data Analysis

44,700 already enrolled

Included with

Gain insight into a topic and learn the fundamentals.
4.7

894 reviews

Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

894 reviews

Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English
95%
Most learners liked this course

Build your subject-matter expertise

This course is part of the Introduction to Scripting in Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.

By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.

This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.

What's included

7 videos2 readings1 assignment

7 videos•Total 45 minutes
  • Welcome!•2 minutes
  • Class Structure•4 minutes
  • Python Dictionaries•6 minutes
  • Defining a Dictionary•7 minutes
  • Dictionary Lookup and Update•9 minutes
  • Checking Keys•8 minutes
  • Handling Dictionary Errors•8 minutes
2 readings•Total 20 minutes
  • Dictionaries - Example•10 minutes
  • Practice Exercises for Dictionaries•10 minutes
1 assignment•Total 30 minutes
  • Dictionaries•30 minutes

This module will teach you about storing tabular data within Python programs using lists and dictionaries.

What's included

4 videos2 readings1 assignment

4 videos•Total 32 minutes
  • Iteration over Dictionaries•7 minutes
  • Tabular Data as a Nested List•10 minutes
  • Tabular Data as a Nested Dictionary•9 minutes
  • Displaying Dictionaries•5 minutes
2 readings•Total 20 minutes
  • Tabular Data•10 minutes
  • Practice Exercises for Nested Data Structures•10 minutes
1 assignment•Total 30 minutes
  • Nested Representations for Tabular Data•30 minutes

This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python's csv module to help you access tabular data in CSV files.

What's included

8 videos4 readings2 app items

8 videos•Total 66 minutes
  • Tables and CSV Files•7 minutes
  • Parsing CSV Files•6 minutes
  • Python's CSV Module•7 minutes
  • CSV DictReader•10 minutes
  • CSV Reader Options•10 minutes
  • Experimenting with CSV Methods - Part 1•8 minutes
  • Experimenting with CSV Methods - Part 2•8 minutes
  • Project Video for Part 1•10 minutes
4 readings•Total 40 minutes
  • CSV Files•10 minutes
  • Practice Project: Loading Cancer-Risk Data•10 minutes
  • Project Description: Reading and Writing CSV Files•10 minutes
  • OwlTest: Automated Feedback and Assessment•10 minutes
2 app items•Total 120 minutes
  • Project: Reading and Writing CSV Files•60 minutes
  • Project Submission History•60 minutes

This module will teach you how to sort data in Python. You will organize and analyze tabular data.

What's included

6 videos3 readings1 app item

6 videos•Total 53 minutes
  • Sorting•8 minutes
  • Lambda•9 minutes
  • Advanced Sorting•6 minutes
  • Refactoring Your Code - Part 1•7 minutes
  • Refactoring Your Code - Part 2•8 minutes
  • Project Video for Part 2•15 minutes
3 readings•Total 30 minutes
  • Dictionaries vs. Lists for storing data•10 minutes
  • Practice Project: Processing Cancer-Risk Data•10 minutes
  • Project Description: Analyzing Baseball Data•10 minutes
1 app item•Total 60 minutes
  • Project: Analyzing Baseball Data•60 minutes

Earn a career certificate

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Instructors

Instructor ratings
4.8 (125 ratings)
Rice University
11 Courses•421,468 learners

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Showing 3 of 894

KT
·

Reviewed on Jun 1, 2020

Overall, this is a great course, However, used baseball as the theme of the final project is really not a good idea!

VS
·

Reviewed on Nov 1, 2019

Great Course !Specially the project at the end uses some really powerful code, combining all that we had learnt throughout the course

MR
·

Reviewed on May 17, 2020

Excellent Lecture + good support from mentors (Patrick, the only one?). However, the final project's description is quite obscure, I have to rely heavily on owl-test.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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